ArticleBrain stimulation
dsGrid: a dual-site TMS grid-search method for personalized targeting of motor network connectivity.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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8 authors.
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Abstract
backgroundBrain targets for transcranial magnetic stimulation (TMS) are often derived from anatomical landmarks or group-level neuroimaging data, which lack precision or personalization, contributing to the variability in TMS responses. Personalized functional magnetic resonance imaging (fMRI) may improve accuracy but remains resource-intensive and not widely accessible.
objectiveTo determine whether a new dual-site targeting method (dsGrid), based on dual-coil TMS mapping of motor connectivity, aligns with individual motor network connectivity derived from fMRI and validate its use.
methodsForty-seven participants underwent resting-state and task-based fMRI, followed by dual-coil TMS during a goal-directed action task. Motor network connectivity was quantified using fMRI, both resting-state and task-based connectivity, and task-evoked BOLD activity was also quantified. The strength of fMRI-derived motor features was assessed at the TMS target sites identified by dsGrid and compared with the strength of these measures at a conventional group-based target (e.g., the P3 electrode from a 10-20 EEG system) and registered to individual anatomy.
resultsTargets identified by dsGrid are more accurate in terms of individualized motor network connectivity and activation across all three fMRI modalities than group-based P3 coordinates mapped to individual MRI space.
conclusiondsGrid enables precise, individualized TMS targeting of functional motor circuits, supporting its use in both research and clinical neuromodulation.
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